person
Albert Gu
CMU; Mamba and structured state-space models
Carnegie Mellon assistant professor; co-author of the Mamba selective state-space architecture (2023), a leading challenger to attention-based Transformers for long-context modelling.
current Assistant Professor of Machine Learning, Carnegie Mellon University; Co-founder, Cartesia AI
Strategy positions
Accelerationendorsestentative
Build faster; delay costs more than capabilityArgues structured state-space models can scale to language with linear time and memory, breaking the quadratic attention bottleneck and reshaping where capability research is going.
“We propose Mamba, a selective state space model that achieves Transformer-level performance with linear scaling in sequence length.”
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Record last updated 2026-04-25.